Applying LR cube analysis to JSteg detection

Kwangsoo Lee, Changho Jung, Sangjin Lee, Hyung Jun Kim, Jongin Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

JSteg is a steganographic method for JPEG images that can be viewed as LSB steganography. Recently, we proposed a new principle to detect the use of LSB steganography in digitized vector signals and showed how to apply it to gray-scale images. In this paper, we discuss how to apply it to JPEG images and show some experimental results for the JSteg-like algorithm.

Original languageEnglish
Title of host publicationCommunications and Multimedia Security - 9th IFIP TC-6 TC-11International Conference, CMS 2005, Proceedings
EditorsJana Dittmann, Stefan Katzenbeisser, Andreas Uhl
PublisherSpringer Verlag
Pages275-276
Number of pages2
ISBN (Print)3540287914, 9783540287919
DOIs
Publication statusPublished - 2005
Event9th IFIP TC-6 TC-11International Conference on Communications and Multimedia Security, CMS 2005 - Salzburg, Austria
Duration: 2005 Sep 192005 Sep 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3677 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th IFIP TC-6 TC-11International Conference on Communications and Multimedia Security, CMS 2005
CountryAustria
CitySalzburg
Period05/9/1905/9/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, K., Jung, C., Lee, S., Kim, H. J., & Lim, J. (2005). Applying LR cube analysis to JSteg detection. In J. Dittmann, S. Katzenbeisser, & A. Uhl (Eds.), Communications and Multimedia Security - 9th IFIP TC-6 TC-11International Conference, CMS 2005, Proceedings (pp. 275-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3677 LNCS). Springer Verlag. https://doi.org/10.1007/11552055_32